Santa monica, ca: $155,700 - $208,700; new york ci...
Spark data pipelines
Kafka/kinesis streaming pipelines
Low-latency online feature stores
The Search Machine Learning (ML) team powers the ML aspects of search engines for Disney+ platform
Job Summary
The Search Machine Learning (ML) team powers the ML aspects of search engines for Disney+ platform.
You will be leading the data operation aspects of our ML services, from data warehousing, building and owning ETL pipelines, and standing up feature stores for low-latency feature access to our ML micro-services.
This is a highly collaborative role, where you will be able to own the entire lifecycle of data pipelines, communicate your requirements with upstream DATA teams, bring your data engineering skills and ideas into life by engineering efficient data pipelines, and help supporting the feature requirements by the ML engineers/data scientists.
Matching Summary
The Search Machine Learning (ML) team powers the ML aspects of search engines for Disney+ platform.
Salary
Santa Monica, CA: $155,700 - $208,700; New York City: $163,100 - $218,700; San Francisco, CA: $170,500 - $228,600; Bonus and/or long-term incentive units may be provided; Full range of medical, financial, and/or other benefits
Skills & Requirements
Must-have
Spark data pipelines
Kafka/Kinesis streaming pipelines
Low-latency online feature stores
ML micro-services integration
Data warehousing and ETL
Nice-to-have
Vector database familiarity
Cross-team data modeling
Mentoring junior engineers
Storytelling and innovation culture
Key Requirements
7+ years data engineering experience
2+ years Feature Store experience
Experience with sagemaker/Redis
Experience with large-scale distributed data processing
Bachelor's degree in Computer Science or related field